Data Scientist II: AML/CTF Modeling & Analytics

TD Bank Group; Mount Laurel Township, Northern (NJ, KY); Hybrid; USD 76,000 - 125,000; Full time

Job summary

TD Bank Group in Mount Laurel, New Jersey is seeking a Data Scientist II to collect data, wrangle, visualize and build analytics solutions that guide decision‑making and strategic planning. This role sits in the US Financial Crime Risk Modeling & Advanced Analytics team, developing AML/CTF models and analytics across sanctions screening and monitoring.

Applicants should have a quantitative degree and 3+ years of relevant experience, with Python/SQL proficiency and ML expertise.

Qualifications

• Proficiency in Python and SQL coding.
• Hands-on experience with quantitative analysis, statistical modeling, and ML.
• Strong communication skills to present findings to technical and non-technical audiences.
• Experience with LLM prompt engineering and evaluation is a plus.
• Knowledge of AML/CTF, sanctions screening, or compliance analytics is a plus.

Responsibilities

• Collect data and apply data wrangling, profiling, and visualization to uncover insights.
• Develop analytics solutions that inform decision making and strategic planning.
• Collaborate with data engineers, software engineers and analysts to build scalable models.
• Translate business problems into data science solutions and communicate results to stakeholders.

Skills

Python

SQL

Data visualization

Statistics

Machine learning

Communication

LLM prompt engineering

Regulatory analytics

Education

Undergraduate degree in data/quantitative field

Advanced technical degree preferred

Tools

Python

SQL

Job description

TD Bank Group in Mount Laurel, New Jersey is seeking a Data Scientist II to collect data, wrangle, visualize and build analytics solutions that guide decision‑making and strategic planning. This role sits in the US Financial Crime Risk Modeling & Advanced Analytics team, developing AML/CTF models and analytics across sanctions screening and monitoring.

Applicants should have a quantitative degree and 3+ years of relevant experience, with Python/SQL proficiency and ML expertise.